Based on prior knowledge, we can analyze the relationship between the feature "nr_08" (Ventricular paroxysmal tachycardia in the anamnesis) and the target variable "chronic heart failure" to determine if the myocardial infarction complications indicate chronic heart failure.

To conduct this analysis, we need data that includes the values of the feature "nr_08" and whether or not the patient has chronic heart failure. By examining this data, we can determine if there are any patterns or associations between the feature and the target.

Let's assume we have a dataset with the following information:

| nr_08    | chronic heart failure |
|----------|-----------------------|
| no       | yes                   |
| yes      | yes                   |
| no       | yes                   |
| yes      | no                    |
| no       | no                    |
| yes      | yes                   |
| no       | no                    |

Based on this data, we can analyze the relationship as follows:

For chronic heart failure patients:
- If the value of "nr_08" is "no", there are 2 instances.
- If the value of "nr_08" is "yes", there are 1 instance.

For non-chronic heart failure patients:
- If the value of "nr_08" is "no", there are 2 instances.
- If the value of "nr_08" is "yes", there are 1 instance.

From this analysis, we can create the dictionary:

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```

Please note that this analysis is based on a small dataset and should be validated with a larger dataset to draw more accurate conclusions.